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» Bayesian network modelling through qualitative patterns
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NIPS
1997
15 years 4 months ago
Learning Generative Models with the Up-Propagation Algorithm
Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...
Jong-Hoon Oh, H. Sebastian Seung
113
Voted
HICSS
2006
IEEE
124views Biometrics» more  HICSS 2006»
15 years 9 months ago
Gatekeeping in Virtual Communities: On Politics of Power in Cyberspace
Gatekeeping/Information Control is exercised frequently and daily in virtual communities. Gatekeeping exists in four different levels: Regulators, service providers, communitiesâ€...
Karine Barzilai-Nahon
TOG
2010
157views more  TOG 2010»
14 years 10 months ago
Computer-generated residential building layouts
We present a method for automated generation of building layouts for computer graphics applications. Our approach is motivated by the layout design process developed in architectu...
Paul Merrell, Eric Schkufza, Vladlen Koltun
140
Voted
INFOCOM
1999
IEEE
15 years 7 months ago
Predictive Distance-Based Mobility Management for PCS Networks
This paper presents a mobile tracking scheme that exploits the predictability of user mobility patterns in wireless PCS networks. Instead of the constant velocity fluid-flow or the...
Ben Liang, Zygmunt J. Haas
121
Voted
MASCOTS
2001
15 years 4 months ago
Parameterized Mobile Action Generator for a Wireless PCS Network
While there are different research groups in the mobile computing community, most research requires mobile action data in terms of user calling and mobility patterns. Since collec...
Sang-Eon Park, Carla N. Purdy